NISQ algorithms and rapid development of quantum hardware
has caught the attention of numerous industries that are in search
of solutions that can improve efficiency in their operations.
To test the potential for NISQ algorithms in a given use case,
it is commonplace to begin with a complex problem and to then
identify a miniaturized version of the problem which can then
be attacked with a NISQ quantum algorithm. For example,
many problems that arise in operations research can be recast
as a quadratic unconstrained binary optimization (QUBO) problem.
Such problems can be downsized and then solved using the quantum
approximate optimization algorithm [1]} (with simulated or real hardware) or by execution on quantum annealing
devices like those produced by D-Wave Systems [2]}.
